Senior Data Engineer (Bucharest, Bucuresti, RO, ROU: 02033)

Allianz
Bucharest
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsEducation: bachelorsSkills: ["Communicate effectively","Ownership","Problem-solving","Organized","Results-oriented"]

Develop and maintain data pipelines within Allianz’s Spark-based data platform to enable data-driven pricing. Design and implement solutions using internal and external data, optimizing fuzzy merge processes to maximize data value. Partner with data engineers, pricing actuaries, and predictive modelers to deliver production-grade ETL/warehouse solutions, support code reviews, and help the wider pricing team with data processing and best practices. Contribute to dashboards and application development as needed.

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FursaFursa
Allianz
Allianz
10 hours ago

Senior Data Engineer (Bucharest, Bucuresti, RO, ROU: 02033)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live
Reposted: similar role first listed 4 months ago

Job Summary

Develop and maintain data pipelines within Allianz’s Spark-based data platform to enable data-driven pricing. Design and implement solutions using internal and external data, optimizing fuzzy merge processes to maximize data value. Partner with data engineers, pricing actuaries, and predictive modelers to deliver production-grade ETL/warehouse solutions, support code reviews, and help the wider pricing team with data processing and best practices. Contribute to dashboards and application development as needed.
Location: Bucharest
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop and maintain data pipelines within a Spark-based data platform to enhance pricing capabilities.
  • •Drive design and implementation of data-driven pricing solutions using internal and external data, including fuzzy merge optimization.
  • •Collaborate with data engineers, pricing actuaries, and predictive modelers to deliver innovative data solutions for data-driven pricing.
  • •Implement solutions aligned with data engineering best practices (continuous improvement, participate in code reviews).
  • •Support the Pricing team with data processing and coding best practices and contribute to reporting dashboards/application development as needed.

Pay and Benefits

Perks:Health InsuranceMeal TicketsPrivate PensionLife InsuranceLearning Budget

Key Requirements

  • •Minimum 8 years’ experience using SQL and/or PySpark for data-focused solutions, ideally in an insurance environment.
  • •Minimum 3 years’ experience using Databricks.
  • •Strong SQL and significant PySpark experience building data pipelines for production environments.
  • •Experience developing ETL/data pipelines, cleaning data, and combining multiple sources into a production warehouse.
  • •Knowledge of engineering principles such as automated testing, code abstraction, and performance optimization.
Experience:8+ yearsInsuranceETLData pipelines
Education:Bachelor's in Numerical field (preferably Computer Science or Data Engineering)
Skills:Communicate effectivelyOwnershipProblem-solvingOrganizedResults-oriented
Certifications:AgileLean Six SigmaPRINCE2ITILIFOAACCAIACCM
Languages:English
Tech Stack:SQLPySparkSparkDatabricksETLData pipelinesData warehouseFuzzy merge

Company Brief

Allianz
Global insurance and financial services group offering property-casualty insurance, life and health insurance, asset management, and corporate risk solutions to individuals, businesses, and institutions across more than 70 countries.
Industry: Insurance
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Munich, Germany
Founded: 1890
WebsiteLinkedIn